scholarly journals Importance Calculation of Customer Requirements for Incremental Product Innovation

2021 ◽  
Vol 12 ◽  
Author(s):  
Lisha Geng ◽  
Xiaofei Shi ◽  
Liran Zu ◽  
Meiqun Chai ◽  
Jinge Xing
Keyword(s):  
Product Innovation ◽  
Three Dimensions ◽  
Dimensional Vector ◽  
Customer Requirements ◽  
Calculation Methods ◽  
Customer Requirement ◽  
Perceived Satisfaction ◽  
Calculation Process ◽  
Weight Calculation ◽  
Grey Number

Incremental product innovation is achieved by finding and solving problems of existing products. The importance of customer requirements reflects the severity of existing product problems, which points out the direction for incremental product innovation. In this research, the calculation process of customer requirement importance mainly includes three steps. Firstly, from the perspective of customers, the improvement gap analytical method is used to obtain the improvement and original importance of customer requirements by measuring customer perceived satisfaction and dissatisfaction. Secondly, from the perspective of industry experts, an improved interval grey number ranking method is proposed to calculate the basic importance of customer requirements, which can deal with the inadequate problem of the data provided by experts due to the limited number of experts. Finally, a multi-dimensional vector cosine method, which avoids the interference of subjectivity of importance weight calculation to the final importance, is proposed to integrate the importance data provided by customers and experts. A case of a water purifier is considered to illustrate the validity of the proposed process. This research improves existing calculation methods and proposes an integrated calculation process from three dimensions to calculate the final importance of customer requirements effectively.

PERCEIVED COMPETITION AND INNOVATIVE INTENTIONS IN DUTCH SMALL AND MEDIUM-SIZED ENTERPRISES

2011 ◽  
Vol 15 (04) ◽  
pp. 687-707 ◽  
Author(s):  
JEROEN P. J. DE JONG
Keyword(s):  
The Netherlands ◽  
Product Innovation ◽  
Bargaining Power ◽  
Process Innovation ◽  
Three Dimensions ◽  
Complex Relationship ◽  
Product And Process Innovation ◽  
Buyer Power ◽  
Product And Process ◽  
Competitive Forces

This paper explores the complex relationship between competition and innovation by analyzing survey data of 2,281 small and medium-sized enterprises (SMEs) in the Netherlands. We develop and test hypotheses on the relationships between three dimensions of perceived competition (internal rivalry, supplier power and buyer power) and firms' intentions to engage in product and process innovation. Moreover, we analyze if firms' strategic attention for innovation is a moderating variable. We find that specific innovative intentions relate to different perceptions of competitive forces. Intentions to engage in process innovation correlate with the perceived bargaining power of suppliers, while intended product innovation correlates with perceived buyer power and internal rivalry between incumbent firms in the market — but the correlation with internal rivalry is significant only when firms report no strategic attention for innovation.

Understanding customer requirements through quantitative analysis of an improved fuzzy Kano’s model

2017 ◽  
Vol 231 (4) ◽  
pp. 699-712 ◽  
Author(s):  
Lina He ◽  
Xinguo Ming ◽  
Miao Li ◽  
Maokuan Zheng ◽  
Zhitao Xu
Keyword(s):  
Quantitative Analysis ◽  
Global Market ◽  
Requirement Analysis ◽  
Primary Concern ◽  
Customer Requirements ◽  
Customer Requirement ◽  
Proposed Model ◽  
Kano’S Model ◽  
Maximizing Deviation Method ◽  
Importance Assessment

Customer requirement analysis has become a primary concern for companies who compete in the global market. Kano’s model, as a customer-driven tool, has been widely used for customer requirement analysis in product improvement. Although a number of authors have improved the traditional Kano’s model, there has been a limitation of dealing with the fuzzy and uncertainty of human thought under multi-granularity linguistic environment. Furthermore, the traditional Kano’s model faces problems regarding quantitative data computation and customer requirements importance assessment. In this article, an improved fuzzy Kano’s model is proposed to analyze customer requirements under uncertain environment. A 2-tuple linguistic fuzzy Kano’s questionnaire is developed to model the uncertainty and diversity of customers’ assessments using 2-tuple linguistic variables under multi-granularity linguistic environment. Then, a comprehensive and systematic methodology is presented to prioritize customer requirements through quantitative analysis of improved fuzzy Kano’s model. This method integrates subjective judgments assigned by decision maker, objective weights based on maximizing deviation method and customer satisfaction contribution to determine the priority ratings of customer requirements. A case study of combine harvester development is presented to evaluate the proposed model.

Research on Customer Requirements Expansion Based on TRIZ and Grey Theory

2010 ◽  
Vol 29-32 ◽  
pp. 1235-1240 ◽  
Author(s):  
Jiang Hua Ge ◽  
Jian Yuan Xu ◽  
Ya Ping Wang ◽  
Fen Wei
Keyword(s):  
Product Family ◽  
Expansion Method ◽  
Complete Information ◽  
Grey Theory ◽  
Customer Requirements ◽  
Customer Requirement ◽  
Ontology Model ◽  
Potential Market ◽  
Horizontal Expansion ◽  
Market Requirement

To accurately understand the current customer requirements, mine and predict those of potential market, requirement expansion method based on TRIZ was proposed to realize horizontal expansion of customer requirements and grey theory was applied to vertical expansion to maximize the diversity of customer requirement. Meanwhile, ontology model of customer requirements was built to represent in detail complete information of customer requirement, it provided the basis for determining product family reasonably and comprehensively.

Ontologies to Support Customer Requirement Formulation in Aerospace Design

2017 ◽  
Author(s):  
Mark T. Lemke ◽  
Robert B. Stone ◽  
Ryan A. Arlitt
Keyword(s):  
Open Source ◽  
Research Field ◽  
Research Center ◽  
Major Contributor ◽  
Customer Requirements ◽  
Customer Requirement ◽  
Major Goal ◽  
Engineering Discipline ◽  
Nasa Ames Research ◽  
Common Understanding

The major goal of customer requirement formulation is to achieve a common understanding between the project stakeholders and the engineering requirements. Many times, this process can be ambiguous, incomplete, and time consuming especially when more than one engineering discipline is involved. Therefore, adequate requirement formulation tools can be a major contributor to solving these challenges. The use of ontologies provides a standardized way of describing concepts in a domain of interest and the relationships between these concepts to better understand the domain as a whole. This paper describes the methodology used to create an ontology derived from twenty customer requirements of a mid-size, twin-engine, commercial transport-class aircraft provided by NASA Ames Research Center. One key stipulation that NASA had was that this ontology effectively captures the relationships that exist between the hardware and software level of each customer requirement. The final ontology was created using Protégé OWL, an open source ontology editor, which will be used by NASA in order to improve the customer requirement creation phase of future NASA products. The ontology and requirements were further generalized into a set of common patterns for describing requirements in this domain. These pattern templates provide a tool to ensure that common styles of requirements have been considered, and that these common styles are uniform. This research paper fills a gap in the customer requirement research field by introducing the use of ontologies and common patterns to reduce ambiguity and repetition.

scholarly journals Competitive Priorities, Employee Management and Development and Sustainable Manufacturing Performance in Asian Organizations

2020 ◽  
Vol 12 (13) ◽  
pp. 5335
Author(s):  
Dotun Adebanjo ◽  
Pei-Lee Teh ◽  
Pervaiz K Ahmed ◽  
Erhan Atay ◽  
Peter Ractham
Keyword(s):  
Product Innovation ◽  
Sustainable Manufacturing ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Customer Focus ◽  
Quality Performance ◽  
Competitive Priorities ◽  
Manufacturing Performance ◽  
Management And Development ◽  
Production Flexibility

This study investigates the relationships between three dimensions of competitive priorities (customer focus, product innovation and delivery) and how Asian manufacturers manage and develop their employees and the consequent effect on sustainable manufacturing performance. Three dimensions of manufacturing performance are considered in this study—quality performance, production flexibility and operations cost. This study uses 259 datasets collected from manufacturers in four Asian countries. Structural equation modeling and mediation analysis are performed to test the relationships. Results show that there is a significant positive and mediating relationship between the competitive priority of product innovation, employee management and development, quality performance, production flexibility and operation cost. However, such significant relationships do not exist with competitive priorities of customer focus and delivery. Organizations are constantly faced with the problem of determining which competitive priorities to focus on. However, different competitive priorities have different effects on how the employees are managed and developed, and ultimately, on organizational performance and competitiveness. There is a need to focus on innovation-led strategies that relate to sustainable outcomes. This is one of the first studies in Asia to understand the multilateral relationships between different competitive priorities and different performance dimensions when employee management and development intermediate.

scholarly journals A Novel Approach Based on Kano Model, Interval 2-Tuple Linguistic Representation Model, and Prospect Theory for Apperceiving Key Customer Requirements

2018 ◽  
Vol 2018 ◽  
pp. 1-23
Author(s):  
Aijun Liu ◽  
Qiuyun Zhu ◽  
Haiyang Liu ◽  
Hui Lu ◽  
Sang-Bing Tsai
Keyword(s):  
Prospect Theory ◽  
Product Innovation ◽  
Customer Requirements ◽  
Kano Model ◽  
Linguistic Representation ◽  
Numerical Example ◽  
Representation Model ◽  
Novel Approach ◽  
Product Function ◽  
Key Customer

The precisely perception of key customer requirements (CRs) is critically important for customer collaborative product innovation (CCPI) design. A novel approach is proposed based on the Kano model, interval 2-tuple linguistic representation model, and prospect theory. First of all, a Kano model is constructed to preliminarily screen the relatively important product function attributes. For the uncertain and vague information of CRs, an interval 2-tuple linguistic representation model is proposed to determine the weight of CRs. Then, the comprehensive prospects value is utilized for sorting the innovative programs based on the prospect theory. Finally, a numerical example is given to verify the scientific and validity of the proposed method.

scholarly journals Mobile Phone Recommender System Using Information Retrieval Technology by Integrating Fuzzy OWA and Gray Relational Analysis

Information ◽  
2018 ◽  
Vol 9 (12) ◽  
pp. 326 ◽  
Author(s):  
Shen-Tsu Wang ◽  
Meng-Hua Li
Keyword(s):  
Information Retrieval ◽  
Mobile Phone ◽  
The Other ◽  
Weighted Averaging ◽  
Gray Relational Analysis ◽  
Calculation Methods ◽  
Ordered Weighted Averaging ◽  
Relational Analysis ◽  
Analysis Calculation ◽  
Weight Calculation

With the advancement and diversification of information retrieval technology, such technology has been widely applied in recent years in personalized information recommender systems (RSs) and e-commerce RSs in addition to data-mining applications, especially with respect to mobile phone purchases. By integrating the weights of fuzzy ordered weighted averaging (OWA) and gray relational analysis, this research calculated the recommended F1 indices of three weight calculation methods to be 20.5%, 14.36%, and 16.43% after an examination by 30 experimenters. According to the operational results attained by the 30 experimenters, the recommended products obtained by the fuzzy OWA and gray relational analysis calculation method covered the products recommended by the other two weight calculation methods with a higher recommendation effect.

Role of division algebra in seven-dimensional gauge theory

2015 ◽  
Vol 30 (10) ◽  
pp. 1550047
Author(s):  
Pushpa Kalauni ◽  
J. C. A. Barata
Keyword(s):  
Gauge Theory ◽  
Division Algebra ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Three Dimensions ◽  
Dimensional Vector ◽  
Vector Product ◽  
Yang Mills ◽  
Rotational Transformation

The algebra of octonions 𝕆 forms the largest normed division algebra over the real numbers ℝ, complex numbers ℂ and quaternions ℍ. The usual three-dimensional vector product is given by quaternions, while octonions produce seven-dimensional vector product. Thus, octonionic algebra is closely related to the seven-dimensional algebra, therefore one can extend generalization of rotations in three dimensions to seven dimensions using octonions. An explicit algebraic description of octonions has been given to describe rotational transformation in seven-dimensional space. We have also constructed a gauge theory based on non-associative algebra to discuss Yang–Mills theory and field equation in seven-dimensional space.

Sign in / Sign up

Export Citation Format

Share Document